{"id":"W4283324850","doi":"10.1364/oe.461979","title":"Fabrication error tolerant broadband mode converters and their working principles","year":2022,"lang":"en","type":"article","venue":"Optics Express","topic":"Photonic and Optical Devices","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"National Research Council Canada","keywords":"Computer science; Nanophotonics; Converters; Broadband; Robustness (evolution); Insertion loss; Optics; Materials science; Ranging; Fabrication; Photonics; Electronic engineering; Optoelectronics; Physics; Telecommunications; Electrical engineering; Engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002908827,0.0002746806,0.0001692004,0.0001926719,0.0002504023,0.0006871815,0.0005306787,0.0004396361,0.001019852],"category_scores_gemma":[0.0004747613,0.0002818354,0.0001997665,0.000147419,0.000509382,0.0004361275,0.0003806903,0.0005479933,0.0003522045],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002909739,"about_ca_system_score_gemma":0.0002509417,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001692512,"about_ca_topic_score_gemma":0.0002730333,"domain_scores_codex":[0.9998099,0.00002164557,0.000005435391,0.00002375717,0.0001285292,0.00001078833],"domain_scores_gemma":[0.9998969,0.00004251024,0.00001646237,0.00002722763,0.00001347876,0.000003428125],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00004000523,0.00006626931,0.0006197834,0.0002307752,0.00002898313,0.0001850235,0.0001843939,0.1933705,0.2809033,0.4246094,0.001006819,0.09875478],"study_design_scores_gemma":[0.0000264095,0.0001587474,0.0007519352,0.00007338134,0.00001567483,0.0005272488,0.00005694037,0.7675506,0.1296917,0.07938547,0.02172133,0.00004061466],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04394125,0.000669455,0.9333507,0.0002619157,0.00005914828,0.00006440152,0.00004771673,0.0002270462,0.02137841],"genre_scores_gemma":[0.5315298,0.001174448,0.4573409,0.0001090228,0.00004244478,0.0002444879,0.00005336924,0.00009088394,0.009414579],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001019852,"threshold_uncertainty_score":0.00341177,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02268674635398935,"score_gpt":0.2253348415028585,"score_spread":0.2026480951488691,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}